The knowledge of scripts, common chains of events in stereotypical scenarios, is a valuable asset for task-oriented natural language understanding systems. We propose the Goal-Oriented Script Construction task, where a model produces a sequence of st
eps to accomplish a given goal. We pilot our task on the first multilingual script learning dataset supporting 18 languages collected from wikiHow, a website containing half a million how-to articles. For baselines, we consider both a generation-based approach using a language model and a retrieval-based approach by first retrieving the relevant steps from a large candidate pool and then ordering them. We show that our task is practical, feasible but challenging for state-of-the-art Transformer models, and that our methods can be readily deployed for various other datasets and domains with decent zero-shot performance.
To combat COVID-19, both clinicians and scientists need to digest the vast amount of relevant biomedical knowledge in literature to understand the disease mechanism and the related biological functions. We have developed a novel and comprehensive kno
wledge discovery framework, COVID-KG to extract fine-grained multimedia knowledge elements (entities, relations and events) from scientific literature. We then exploit the constructed multimedia knowledge graphs (KGs) for question answering and report generation, using drug repurposing as a case study. Our framework also provides detailed contextual sentences, subfigures, and knowledge subgraphs as evidence. All of the data, KGs, reports.
Poor productivity of construction workers is one of the causes of cost and time overruns in
construction projects. Productivity plays an important role in the construction industry.
Productivity is one of the most important issues in both developed
and developing countries. This
paper reports an investigation of the productivity problems in Syrian construction projects through
a structured questionnaire survey. The main objective of this study is to determine and rank the
factors that affecting labour productivity. 76 factors were identified through a detailed literature
review and interview with projects managers. a questionnaire survey was designed and distributed
to staff of various construction companies. The data obtained was analysed using the relative
importance index. The results from the analysis revealed ten major factors affecting labour
productivity in Syrian construction industry. These
factors are: poor salary, material shortage, financial condition of contractor, poor safety
instructions, size of workshop, rewards shortage, payment delay, low training, and low incentives.
In this research, we will retrace the types of the smart
facades and the ways of its execution for the huge range in which
they have occupied in modern constructions due to the accelerated
development in the used technics to reach the functional, aesthetic
,beneficial of the construction.
This article, will look at the structural development of the high
rise buildings and the factors that led to these developments, and so out
of the basic structural systems, even new classifications for
constructional systems (internal systems external systems), as well as
most construction systems deployed use.
In this paper , we will discuss the way of construction of lyapunov
function for some of linear stochastic difference equations
We will use the general method of constructions of lyapunov
function for stochastic difference equations and we will ob
tain a
sufficient conditions of asymptotic mean square stability of zero
solution for one of linear stochastic difference equations with
constant coefficient ,By using of some main theorems and
definitions for asymptotic mean square stability for linear
stochastic difference equations .
A comprehensive literature review was carried out in order to
identify potential factors that have an influence on project
performance. Based on this review, a formal questionnaire survey
was developed and sent to a carefully selected focus group
of
construction experts from within the Syrian construction industry.
Building maintenance is gaining an increasing attention in the field of scientific
research and there was a need for the use of new technologies in maintenance
management, , as the facility management deal with a large amount of information relatin
g
to maintenance, which includes drawings and specifications, lists, and reports, and the use
of paper files leads to decrease the efficiency and create a shortage of data and information.
We offer in this research tool to manage the maintenance process by using the BIM
through linking deterioration models and three-dimensional model of the facility to be
maintained, then compensate the external investigation data for maintenance work in these
models, to get at the end of this research and with the help of the possibilities offered by
Revit database to an upcoming maintenance items and arrange them according to their
importance and impact on the facility , the estimated budget for the periodic maintenance
and distribution of this budget on the various construction elements , the development of
resources plan for next year and up to the knowledge database of maintenance will help in
determining the supplier lifecycle and the coefficient of replacement.
Waste resulting from construction operations affect the project, so that it adds
financial values of the project, without leading to any improvement in it,or to improve the
functional capabilities of the project, and lead to increased quantities re
quired, thereby
increasing the cost of the project and the accumulation of environmentally harmful solid
waste.
In this research, We will discuss the most important factors affecting the increase
waste in the Syrian construction projects by identifying the most important causess that
lead to an increase in waste materials, as well as identify the most important causes that
lead to increased waste associated with design, storage or supervision. These factors will
be arranged to determine the most effective on the project. At the end of the research we
will formulated mathematical model to Optimize cutting of reinforced steel bars and
Lindo program will be used to solve this model. It has been shown by the study that a
large proportion of waste is resulting from random cutting bars.
In this paper, the thermal
performance of the doctors and nurses housing building in Aleppo
walls, consisting of the hollow blocks with inside styropor sheet and
compare it with a wall consisting of hollow blocks with eternal
continuous insulatin
g styropor layer and the effect of adding
continuous insulating layer on the existing walls.
The study showed that the use of the block with inside styropor slice
was not useful regarding the thermal behavior and causing large and
intense thermal bridges generation. However the use of block with
continuous styropor layer made the temperature distribution more
uniform and reduced the energy flux by 36.7-70%.
